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Rebecca Willett

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Rebecca Willett is an American statistician and computer scientist whose research involves machine learning, signal processing, and data science. She is a professor of statistics and computer science at the University of Chicago.[1]

Willett has a Ph.D. in electrical and computer engineering from Rice University, completed in 2005. She worked as a faculty member in electrical and computer engineering at Duke University from 2005 until 2013, when she moved to the University of Wisconsin–Madison.[1] She moved again to the University of Chicago in 2018.[2]

Her research has included machine learning methods for the analysis of corn crop quality,[3] and weather patterns.[4]

References

  1. ^ a b Profile: Rebecca Willett, University of Chicago Computer Science Department
  2. ^ DSP Alum Rebecca Willett Joins University of Chicago, Digital Signal Processing at Rice University, June 25, 2018
  3. ^ "New Silage App Designed to Improve Corn Silage Quality", Dairy Herd Management, June 1, 2018
  4. ^ Mitchum, Rob (September 11, 2018), "Multi-university collaboration will use climate data analysis to improve regional forecasts", UChicago News